Evans, Brian2008-11-132008-11-132008-11-13https://hdl.handle.net/1794/7814This paper was completed as part of the final research component in the University of Oregon Applied Information Management Master's Degree Program [see htpp://aim.uoregon.edu].The corporate data warehouse provides strategic information to support decision-making (Kimball, et al., 1998). High quality data may be the most important factor for data warehouse success (Loshin, 2003). This study examines three data management techniques that improve data quality: metadata management, data cleansing, and information stewardship. Content analysis of 14 references, published between 1992 and 2004, results in lists of themes, synonyms, and definitions for each technique, designed for data warehouse analysts and developers.DataMetadata managementData cleansingInformation stewardshipAIMData managementData warehousingApplied Information ManagementOther